Knowledge Graphs
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A knowledge graph is a structured representation of information that organizes data into nodes (entities) and edges (relationships) to show how different pieces of knowledge are interconnected. It enables enhanced data integration, search, and inference by modeling the relationships between concepts and entities in a graph format.
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/hwwang55/MKR
공식 코드Multi-Task Feature Learning for Knowledge Graph Enhanced Recommendation
https://github.com/hwwang55/PathCon
공식 코드https://github.com/hwy9855/gsr
공식 코드Less is More: Making Smaller Language Models Competent Subgraph Retrievers for Multi-hop KGQA
https://github.com/hxyscotthuang/cmpnn
공식 코드A Theory of Link Prediction via Relational Weisfeiler-Leman on Knowledge Graphs
https://github.com/hyleepp/continue-kgc
공식 코드https://github.com/hyren/query2box
공식 코드Query2box: Reasoning over Knowledge Graphs in Vector Space using Box Embeddings
https://github.com/hysonlab/biomedkg
공식 코드Multimodal Contrastive Representation Learning in Augmented Biomedical Knowledge Graphs
https://github.com/hyu-nlp/hyper-cl
공식 코드Hyper-CL: Conditioning Sentence Representations with Hypernetworks
https://github.com/hzli-ucas/stargraph
공식 코드StarGraph: Knowledge Representation Learning based on Incomplete Two-hop Subgraph
https://github.com/i40-Tools/I40KG-Embeddings
공식 코드Unveiling Relations in the Industry 4.0 Standards Landscape based on Knowledge Graph Embeddings
https://github.com/iDEA-iSAIL-Lab-UIUC/APEX
공식 코드APEX$^2$: Adaptive and Extreme Summarization for Personalized Knowledge Graphs
https://github.com/iai-group/pkg-api
공식 코드https://github.com/iamryanshengwang/prometheus-chatbot
공식 코드https://github.com/ibalazevic/HypER
공식 코드https://github.com/ibalazevic/TuckER
공식 코드https://github.com/ibalazevic/multirelational-poincare
공식 코드https://github.com/ibm/digital-twin-benchmark-model
공식 코드https://github.com/ibm/hspo-ontology
공식 코드Representation Learning for Person or Entity-centric Knowledge Graphs: An Application in Healthcare
https://github.com/ibm/kgi-slot-filling
공식 코드Robust Retrieval Augmented Generation for Zero-shot Slot Filling
https://github.com/ibm/lprules
공식 코드https://github.com/ibm/otter-knowledge
공식 코드https://github.com/ibpa/kglm
공식 코드KGLM: Integrating Knowledge Graph Structure in Language Models for Link Prediction
https://github.com/icedpanda/COMPASS-official
공식 코드https://github.com/icedpanda/KERL
공식 코드https://github.com/ida-fbk/multimodalpattern
공식 코드A Pattern to Align Them All: Integrating Different Modalities to Define Multi-Modal Entities
https://github.com/idea-finai/cats
공식 코드https://github.com/idea-finai/tog
공식 코드Think-on-Graph: Deep and Responsible Reasoning of Large Language Model on Knowledge Graph
https://github.com/idea-finai/tog-2
공식 코드https://github.com/idirlab/kgcompletion
공식 코드Realistic Re-evaluation of Knowledge Graph Completion Methods: An Experimental Study
https://github.com/iieir-km/ComplEx-NNE_AER
공식 코드Improving Knowledge Graph Embedding Using Simple Constraints
https://github.com/iieir-km/RUGE
공식 코드Knowledge Graph Embedding with Iterative Guidance from Soft Rules
https://github.com/iiot-tbb/dialogue_dde
공식 코드PK-Chat: Pointer Network Guided Knowledge Driven Generative Dialogue Model
https://github.com/ilyatyagin/dyport
공식 코드Dyport: Dynamic Importance-based Hypothesis Generation Benchmarking Technique
https://github.com/imethanlee/knowphish
공식 코드https://github.com/immortals88/demo-sea
공식 코드출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.